title: Information management for proteomics: a perspective.
abstract: Proteomics is a data-rich discipline that makes extensive use of separation tools, mass spectrometry and bioinformatics to analyze and interpret the features and dynamics of the proteome. A major challenge for the field is how proteomics data can be stored and managed, such that data become permanent and can be mined with current and future tools. This article details our experience in the development of a commercial proteomic information management system. We identify the challenges faced in data acquisition, workflow management, data permanence, security, data interpretation and analysis, as well as the solutions implemented to address these issues. We finally provide a perspective on data management in proteomics and the implications for academic and industry-based researchers working in this field.
authors.affiliation: Proteome Systems Ltd, North Ryde, NSW 1670, Australia. m.wilkins@unsw.edu.au
authors.forename: Marc R
authors.initials: MR
authors.lastname: Wilkins
authors.forename: Jonathan W
authors.initials: JW
authors.lastname: Arthur
authors.forename: F Keith
authors.initials: FK
authors.lastname: Junius
authors.forename: Mathew J
authors.initials: MJ
authors.lastname: Harrison
authors.forename: Mathew D
authors.initials: MD
authors.lastname: Traini
authors.forename: Paul
authors.initials: P
authors.lastname: Bizannes
authors.forename: Philip E
authors.initials: PE
authors.lastname: Doggett
authors.forename: Warren
authors.initials: W
authors.lastname: McDonald
mesh_terms: D030562:Databases, Protein; D016247:Information Storage and Retrieval / Q000379:methods*; D040901:Proteomics / Q000379:methods*; D012984:Software; D014584:User-Computer Interface